All Stories

  1. Application of deep convolutional networks for improved risk assessments of post-wildfire drinking water contamination

    Article • Machine Learning with Applications, January 2023, Elsevier

    Professor Andres Schmidt

  2. Enhanced photosynthesis and transpiration in an old growth forest due to wildfire smoke

    Article • Geophysical Research Letters, May 2022, American Geophysical Union (AGU)

    Professor Andres Schmidt

  3. Novel wildfire Risk assessment for Oregon.

    Article • PLoS ONE, March 2022, PLOS

    Professor Andres Schmidt, Andres Schmidt

  4. Predicting conditional maximum contaminant level exceedance probabilities for drinking water after wildfires with Bayesian regularized network ensembles

    Article • Machine Learning with Applications, December 2021, Elsevier

    Professor Andres Schmidt

  5. Development of a tailored combination of machine learning approaches to model volumetric soil water content within a mesic forest in the Pacific Northwest

    Article • Journal of Hydrology, September 2020, Elsevier

    Professor Andres Schmidt

  6. Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning

    Article • Neural Networks, August 2018, Elsevier

    Professor Andres Schmidt

  7. Bayesian Optimization of the Community Land Model Simulated Biosphere–Atmosphere Exchange using CO2Observations from a Dense Tower Network and Aircraft Campaigns over Oregon

    Article • Earth Interactions, October 2016, American Meteorological Society

    Professor Andres Schmidt

  8. Removing traffic emissions from CO2 time series measured at a tall tower using mobile measurements and transport modeling

    Article • Atmospheric Environment, November 2014, Elsevier

    Professor Andres Schmidt

  9. Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0

    Article • Geoscientific Model Development, October 2014, Copernicus GmbH

    Professor Andres Schmidt

  10. Development of a semi-parametric PAR partitioning model for the contiguous US

    Article • Geoscientific Model Development Discussions, March 2014, Copernicus GmbH

    Professor Andres Schmidt

  11. Supplementary material to "Development of a semi-parametric PAR partitioning model for the contiguous US"

    Article • March 2014, Copernicus GmbH

    Professor Andres Schmidt

  12. Comparison and Optimization of Neural Networks and Network Ensembles for Gap Filling of Wind Energy Data

    Article • Journal of Renewable Energy, January 2014, Hindawi Publishing Corporation

    Professor Andres Schmidt

  13. Eddy covariance measurements with a new fast-response, enclosed-path analyzer: Spectral characteristics and cross-system comparisons

    Article • Agricultural and Forest Meteorology, November 2013, Elsevier

    Professor Andres Schmidt

  14. Empirical assessment of uncertainties of meteorological parameters and turbulent fluxes in the AmeriFlux network

    Article • Journal of Geophysical Research Atmospheres, December 2012, American Geophysical Union (AGU)

    Professor Andres Schmidt

  15. High-frequency analysis of the complex linkage between soil CO2 fluxes, photosynthesis and environmental variables

    Article • Tree Physiology, January 2012, Oxford University Press (OUP)

    Professor Andres Schmidt

  16. Characterization of vertical aerosol flows by single particle mass spectrometry for micrometeorological analysis

    Article • Atmospheric Research, October 2011, Elsevier

    Professor Andres Schmidt

  17. Calculating CO2 and H2O eddy covariance fluxes from an enclosed gas analyzer using an instantaneous mixing ratio

    Article • Global Change Biology, September 2011, Wiley

    Professor Andres Schmidt, Dr Taro Nakai

  18. Classification and assessment of turbulent fluxes above ecosystems in North-America with self-organizing feature map networks

    Article • Agricultural and Forest Meteorology, April 2011, Elsevier

    Professor Andres Schmidt

  19. Direct measurement of CO2 and particle emissions from an urban area

    Article • Meteorologische Zeitschrift, December 2010, Schweizerbart

    Professor Andres Schmidt

  20. Advanced tilt correction from flow distortion effects on turbulent CO2fluxes in complex environments using large eddy simulation

    Article • Quarterly Journal of the Royal Meteorological Society, July 2009, Wiley

    Professor Andres Schmidt

  21. Direct determination of highly size-resolved turbulent particle fluxes with the disjunct eddy covariance method and a 12 – stage electrical low pressure impactor

    Article • Atmospheric Chemistry and Physics, December 2008, Copernicus GmbH

    Professor Andres Schmidt

  22. Gap Filling and Quality Assessment of CO2 and Water Vapour Fluxes above an Urban Area with Radial Basis Function Neural Networks

    Article • Boundary-Layer Meteorology, December 2007, Springer Science + Business Media

    Professor Andres Schmidt

  23. Nutrient Input Through Occult and Wet Deposition into a Subtropical Montane Cloud Forest

    Article • Water Air & Soil Pollution, September 2007, Springer Science + Business Media

    Professor Andres Schmidt